Abstract
We focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. A camera is installed in almost all mobile devices. Moreover, the camera can be used as a location sensor without additional transmitters or receivers. However, if the camera is used as a location sensor, reliable maps will be required. Although there are some location-matching approaches that use maps, the success rate of location detection depends on the representation of a 3-D model and its information content. Compared with a model representation based on Computer-Aided Design (CAD), a point-cloud representation is more photorealistic. We therefore focus on point-cloud data being used for reliable maps. Our proposed locationmatching methodology is based on image matching using images from a digital camera and panoramic images generated from a massive point-cloud in an image-based Geographic Information System (GIS). We conducted experiments in location matching using a digital camera to supply the input data for location detection and a point cloud taken from a terrestrial laser scanner. We have confirmed that our approach can detect locations using a digital camera that is restricted to horizontal movement.
Original language | English |
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Title of host publication | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Publisher | International Society for Photogrammetry and Remote Sensing |
Pages | 391-396 |
Number of pages | 6 |
Volume | 39 |
Publication status | Published - 2012 |
Event | 22nd Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2012 - Melbourne, Australia Duration: 2012 Aug 25 → 2012 Sept 1 |
Other
Other | 22nd Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2012 |
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Country/Territory | Australia |
City | Melbourne |
Period | 12/8/25 → 12/9/1 |
Keywords
- Camera calibration
- Image matching
- Image-based GIS
- Panorama image
- Point-cloud
- Seamless positioning
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development